Výsledky vyhledávání - "Roger P. Kirby"

Xixth International Congress of Photogrammetry and Remote Sensing

Autor: Stuart Robson, Roger P. Kirby, A. Stewart Walker, Gordan Petrie, Ian J. Doqman, Tania Maria Sausen, Ian D. Downey, George Joseph, Yi Dong Huang

Publikováno v: The Photogrammetric Record. 17:119-155

The XIXth International Congress of Photogrammetry and Remote Sensing was held at the Amsterdam RAI International Exhibition and Congress Centre, the Netherlands, from 16th to 23rd July 2000. Reports are given on the Congress as a whole, including th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d9a48c808f496c444b2695c60aa50aae
https://doi.org/10.1111/0031-868x.00171

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A Geostatistical Approach to Modelling Positional Errors in Vector Data

Autor: J. Zhang, Roger P. Kirby

Publikováno v: Transactions in GIS. 4:145-159

As part of the theoretical development and practical applications of GISs, error issues are receiving increasing attention. This paper contributes to the debate in GIS error issues by exploring the applications of geostatistics in vector data, where

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d384e0edfa953e68e536f6c4de71c9d
https://doi.org/10.1111/1467-9671.00044

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An improved algorithm for supervised fuzzyC-means clustering of remotely sensed data

Autor: Roger P. Kirby, Zhang Jingxiong

Publikováno v: Geo-spatial Information Science. 3:39-44

This paper describes an improved algorithm for fuzzyc-means clustering of remotely sensed data, by which the degree of fuzziness of the resultant classification is decreased as comparing with that by a conventional algorithm: that is, the classificat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::372b4162c600d3fd6558abeb9725afd3
https://doi.org/10.1007/bf02826805

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A comparison of alternative criteria for defining fuzzy boundaries on fuzzy categorical maps

Autor: Roger P. Kirby, Zhang Jingxiong

Publikováno v: Geo-spatial Information Science. 3:26-34

This paper provides a brief introduction to the methods for generating fuzzy categorical maps from remotely sensed images (in graphical and digital forms). This is followed by a description of the slicing process for deriving fuzzy boundaries from fu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a7f730fc0a8ba7f7e5dff236f1a62ed2
https://doi.org/10.1007/bf02826620

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Towards an integral strategy for modelling uncertain geospatial data

Autor: Zhang Jingxiong, Lu Jiangbin, Roger P. Kirby

Publikováno v: Geo-spatial Information Science. 2:42-48

This paper endeavours to put the discussion on errors and uncertainties in geographical information systems (GISs) in a more systematic way by examining the strength and weakness of discrete objects and continous fields, the two distinct schools of s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3d5a5637d677bf49ec1fb58a1ba598ec
https://doi.org/10.1007/bf02826717

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An evaluation of fuzzy approaches to mapping land cover from aerial photographs

Autor: Roger P. Kirby, Jingxiong Zhang

Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing. 52:193-201

Fuzzy approaches are of increasing importance for representing and handling geographical area and boundary delineations. This paper evaluates three different approaches that may be applied to derive fuzzy maps of land cover obtained by photogrammetry

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7f8955b6b791b93a22de3d9d7a7d3446
https://doi.org/10.1016/s0924-2716(97)00026-9

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The Aberlady Bay coastal landforms and vegetation communities

Autor: Roger P. Kirby

Publikováno v: Scottish Geographical Magazine. 113:121-126

(1997). The Aberlady Bay coastal landforms and vegetation communities. Scottish Geographical Magazine: Vol. 113, No. 2, pp. 121-126.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2f652439120a7e9771c9d2d978c523a0
https://doi.org/10.1080/00369229718737003

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